databricks-agent-skills-demo
NewDemo: portable Agent Skills (SKILL.md) running on Azure Databricks + Claude
Summary
md files that run on Azure Databricks and integrate with Claude.
- It enables developers to build and deploy reusable AI agents that can execute data engineering, analytics, and machine learning tasks directly within the Databricks environment, streamlining workflows and reducing manual effort.
Install & Usage
mkdir -p .claude/agentsAdd the configuration to .claude/agents/databricks-agent-skills-demo.md
@databricks-agent-skills-demoUse Cases
Usage Examples
/databricks-agent-skills-demo Show me the top 10 rows from the sales table in the analytics catalog.
/databricks-agent-skills-demo Create a new Databricks job that runs my ETL script daily at 2 AM.
/databricks-agent-skills-demo Profile the customer_orders table and summarize missing values and data types.
Security Audits
Frequently Asked Questions
What is databricks-agent-skills-demo?
This skill demonstrates how to create portable agent skills using SKILL.md files that run on Azure Databricks and integrate with Claude. It enables developers to build and deploy reusable AI agents that can execute data engineering, analytics, and machine learning tasks directly within the Databricks environment, streamlining workflows and reducing manual effort.
How to install databricks-agent-skills-demo?
To install databricks-agent-skills-demo: create the agents directory (mkdir -p .claude/agents), then add the config to .claude/agents/databricks-agent-skills-demo.md. Finally, @databricks-agent-skills-demo in Claude Code.
What is databricks-agent-skills-demo best for?
databricks-agent-skills-demo is a agent categorized under General. It is designed for: agent. Created by CHDrum.
What can I use databricks-agent-skills-demo for?
databricks-agent-skills-demo is useful for: Automate data pipeline creation and monitoring on Azure Databricks using natural language commands.; Run ad-hoc SQL queries and visualize results from Databricks tables without leaving the chat interface.; Trigger and manage Databricks jobs for ETL processes or model training from Claude Code.; Explore and profile datasets stored in the Databricks lakehouse to quickly understand data quality and schema.; Generate and execute Python or SQL code for data transformation tasks on Databricks clusters.; Debug Spark jobs by retrieving logs and performance metrics from Databricks clusters via conversational requests..